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Ch.2-7 (automating machine learning (what is AutoML? (eight criteria…

- - - - context-specific tools are implemented within another system or for a specific purpose
    - - general platform are designed for general-purpose machine learning, splits into two types : open-source and commercial
        
        in the open-source category, tools tend to be developed by and for computer and data scientists and generally require knowledge of programming languages, such as Python and R, these tools being the tools through which data scientists access data and algorithms.
      - commercial platform is provided by a commercial vendor, presumably for a price.
        
        several of the available commercial general tools for machine learning also require coding skills, such as the Google Prediction API, and Amazon ML.
    - - accuracy
      - productivity
      - easy of use
      - understanding & learning
      - resource availability
      - process transparency
      - generalizable across contexts
      - recommend actions
- - - - The primary external concern is that during or shortly after completion of a data-science project, the external environment that provided data for your analysis changes drastically.
- - - - classification
        
        which predicts the category to which a new case belongs
      - regression
        
        to predict the target numeric values